Fast identification of the charging pile plug materials using laser-induced breakdown spectroscopy.
Ontology highlight
ABSTRACT: The electric vehicles (EVs) is showing rapid growing, with charging piles playing a critical role as essential infrastructure. The performance and reliability of charging plugs directly influence grid efficiency, while conventional copper-based materials present several limitations. Tellurium copper is an alloy well-suited for charging plugs. Identification of the materials is crucial for ensuring the electrical performance and safety, and recycling value. In this study, laser-induced breakdown spectroscopy (LIBS) was utilized for rapid identification of tellurium copper, red copper and brass. The tellurium in the alloy was identified and the LIBS parameters were optimized. K-nearest neighbor (KNN), random forest (RF), and convolutional neural networks (CNN) models were built for discrimin
SUBMITTER: Chen L
PROVIDER: S-EPMC12858054 | biostudies-literature | 2026
REPOSITORIES: biostudies-literature
ACCESS DATA